IoTChat

every device becomes a part of a larger ecosystem

every device becomes potentially as smart as the entire cloud that's behind it

I'm loving this trend for global #iot for all devices and people; the thing I think the most about is the developer role and open source.

and the definition of what I call the "True Edge of the Network"

that's the biggest open topic: how people will program apps built on combination of #fastdata and #bigdata

http://www.ibmbigdat...
http://ibm.co/21MeUJ...

#opensource pricing becomes even more critical because data volumes grow by several orders of magnitude beyond today's #bigdata

Consumer IOT and Industrial IOT are separate use cases and markets

when d connectivity on d places existed the iot growth ll increase... The application made fa health purpose d reach of iot ll increase...

it is not clear if there is good business model for Consumer IOT market and who/what way can vendors drive revenue

@ggilbert41 some leading indicators are - CEP / stream programming model, sliding time windows, stats based analytics and models

Insurance gets cheaper, fitness improves, things break down less often, customer support gets less dumb. In short no one will notice!

The big industrial giants are not working together today (e.g. GE, IBM, Hitachi...) and they will realize to advance the market they must collaborate

finally wind up wit tis...iot s the future world Bt wen tat is mingled wit people like daytoday life things... It get much fast to reach the people...

@smuddu what about B2B2C model - like wearables that feed medical devices and healthcare providers and then consumer advice

Fitbit is in good position to monetize consumer IOT for healthcare, insurance markets. The market has not evolved yet in this space to drive new business models and help consumers

@ggilbert41 yes IoTs would mainly be a B2B2C or B2B2B model

@smuddu @dataplumbers insurance underwriters can become providers of b2c prescriptive analytics by, for example, providing diet advice or route guidance when trying to avoid bad neighborhoods

Ron Bodkin ‏@ronbodkin said to @furrier #IoT value will be in the analytics - directly observing what's happening will go from behavioral insights to data science action

@dvellante good that big industrial giants are NOT working together otherwise this will slowdown adoption and creates unnecessary standards. IOT is in early days and the best way new products/solutions delivered is by focusing on problem/use case

@smuddu at the same time you can get "walled gardens" supported by GE, 3M ... which might make the life of their customers quite miserable

self driving cars at scale - highly efficient traffic

programmable sensors connected to edge networks connected to cloud backends hosting ML software to generate prediction models

to complete the above - and the prediction models adjust / tune the sensors dynamically

To me we've seen this movie before with "last mile" internet and wireless broadband. Truck rolls (provisioning) will kill the economic models except for the totally obvious game-changing use cases

I am also looking for connected care, elder care

Automating away the people equation for getting the real time data is the key

game-changing use cases are starting with heavy industrial devices - they will have power and may have intermittent connectivity

What happens when the privacy pendulum swings hard to the right?

Many will miss the boat on #iot bc they try to many outside the edge of network use cases and cost overruns will kill them

the connectivity problem is being solved by using buffer processing that stores data periodically captured from a device like a jet engine, car, windmill

IoT security I think is a big scare for CxO's. It's complex enough to secure systems within a data center. IoT devices are a security nightmare.

@abusedbits Privacy is huge and #iot will open up the surface area for attacks so security has to be built in NOT bolted on

@ggilbert41 so it's not Fast Data, it's periodically fast data? :-)

@abusedbits data can trickle to a new notion of "smart edge router/server/dataprocessor

surface area is huge. but stream processors can also leverage encryption with keys from security manager

smart edge is what makes it possible to handle occasionally connected devices

So, the future is an NFV integration at the edge for services consolidation for the data. Can't wait to see that compete for the same space as video streaming....

@abusedbits periodically fast data is great term

@ggilbert41 "coined here first"

Home IoT fantasy - you walk into the house, thermostat has been set a few mins ago, kitchen appliances go on standby, TV/ent displays a summary of new content, music play in the background

@abusedbits periodically fast is crucial also because of its implication for #IoT programming model

Android Developer ‏@androider said to @furrier
it just so happens I'm working on this. So yet it will be available soon.

@ggilbert41 #IoT programming model will be mix of #batch and #streaming #bigdata and #fastdata

Home IoT fantasy cont: of course you came home in a self-driven car, that communicated to the IoT hub at home to trigger the downstream activities

The starting point is the cost of sensor & sensor deployment. Where sensors are derived from consumer technologies (e.g., mobile) the costs can be low. Edge computing has to be very low cost and integrated (like consumer set-top boxes)

@abusedbits fast data was coined by @furrier years ago

@dfloyer cost per sensor is now down to almost $1

coined periodically fast data or PFD if you will... @CrowdCaptain

Self Driving, Levitating cars #Jetsons